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Improving hardware Trojan detection using scan chain based ring oscillators

机译:使用基于扫描链的环形振荡器改善硬件木马检测

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In recent years, the security of integrated circuits (ICs) has received more attention as usage of ICs made by untrustworthy foundries has increased in safety-critical systems . In this paper, we introduce a novel approach for fingerprinting the delay of functional paths in a sequential circuit that have millions of transistors, like processors. We present a method for inserting Ring Oscillators (ROs) into scan chain for measuring the delay of each functional path inside the chip.Using the proposed method, the payload part of Trojans will be detected according to their size and cell types. Our method can be used by power-based Trojan detection approaches for finding the trigger part of Trojans. We also introduce an algorithm for quantifying the vulnerability of the nets. We show that a designer can achieve a good trade-off between area overhead reduction and security enhancement while evaluating the vulnerability degree of each net.
机译:近年来,集成电路(IC)的安全性已受到越来越多的关注,因为在安全关键型系统中,由不可靠的代工厂制造的IC的使用有所增加。在本文中,我们引入了一种新颖的方法来指纹识别具有数百万个晶体管(例如处理器)的时序电路中功能路径的延迟。我们提出了一种将环形振荡器(RO)插入扫描链中以测量芯片内部每个功能路径的延迟的方法。使用该方法,将根据木马的有效载荷部分的大小和单元类型对其进行检测。基于功率的特洛伊木马检测方法可以使用我们的方法来查找特洛伊木马的触发部分。我们还介绍了一种用于量化网络脆弱性的算法。我们表明,设计人员可以在评估每个网络的漏洞程度的同时,在减少区域开销和提高安全性之间取得良好的平衡。

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